Rule identification using ontology while acquiring rules from Web pages

  • Authors:
  • Sangun Park;Jae Kyu Lee

  • Affiliations:
  • Division of Business Administration, Kyonggi University, San 94-6 Yiui-Dong, Paldal-Gu, Suwon, Kyonggi 442-760, South Korea;Graduate School of Management, Korea Advanced Institute of Science and Technology, 207-43 Cheongryangri-dong, Dongdaemun-gu, Seoul 130-012, Korea and School of Information Systems, Singapore Manag ...

  • Venue:
  • International Journal of Human-Computer Studies
  • Year:
  • 2007

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Abstract

As research on the Semantic Web actively progresses, a more intelligent Web environment is expected in various domains including rule-based systems and intelligent agents. However, rule acquisition is still a bottleneck in the utilization of rule-based systems. To extract rules from Web pages, the framework of eXtensible Rule Markup Language (XRML) has been developed. XRML allows the identification of rules from Web pages and generates rules automatically. However, the knowledge engineer's burden is still high because rule identification requires considerable manual work. In order to reduce the knowledge engineer's burden, we proposed an ontology-based methodology of enhanced rule identification. First, we have designed an ontology OntoRule for automated rule identification. Also, we proposed a procedure of rule identification using OntoRule. Lastly, we showed the performance of our approach with an experiment.